Abstract. Methodological frameworks guide the design of digital learning game based on well founded learning theories and instructional strategies. This study presents a comparison of five methodological frameworks for digital learning game design, highlighting their similarities and differences. The objective is to support the choice of an adequate framework, aiming to promote them as a way to foster principled digital learning games design. This paper concludes that: (i) interactivity, engagement and increasing complexity of challenges are fundamental factors to digital learning game design; (ii) the pedagogical base, the target, the possibility of doing game assessment and the presence of practical guidelines are the selection criteria that influence most the choice of a methodological framework, and (iii) the development of digital learning games -preferably by different research teams -is needed to provide empirical evidence of the utility of framework-based design.
Computer simulation based interactive systems have proven to be risk-free alternatives for training the police force. Also, in these kinds of simulations, the user can make errors without dangerous consequences, unlike real-world situations. In this sense, this paper proposes a system model, aimed at shooting training, using features of video sequences and three-dimensional computer graphics interactive environments. This proposal is initially based on the evaluation of a commercial system that uses immersive virtual reality. Then, it was defined a system model, based on which, two prototypes were developed. These prototypes are already in use in a police academy, and make use of audiovisual devices and laser shots emission.
Considering the relevance of Computational Thinking (CT) and the need to develop this competence in Computer Science (CS) students.This paper presents and evaluates a CT course, given remotely, to students in the first semester of the CS. The course aimed to learn CT using Computational Action. The applications were designed using Design Thinking and developed on the block programming platform, App Inventor. The results indicate that after the course the students showed a visible increase in knowledge about the CT and in the motivation to learn more about the subject.
Cloud Computing is not only a pool of resources and services offered through the internet, but also a technology solution that allows optimization of resources use, costs minimization and energy consumption reduction. Enterprises moving towards cloud technologies have to choose between public cloud services, such as: Amazon Web Services, Microsoft Cloud and Google Cloud services, or private self built clouds. While the firsts are offered with affordable fees, the others provide more privacy and control. In this context, many open source softwares approach the buiding of private, public or hybrid clouds depending on the users need and on the available capabilities. To choose among the different open source solutions, an analysis is necessary in order to select the most suitable according with the enterprise's goals and requirements. In this paper, we present a depth study and comparison of five open source frameworks that are gaining more attention recently and growing fast: CloudStack, OpenStack, Eucalyptus, OpenNebula and Nimbus. We present their architectures and discuss different properties, features, useful information and our own insights on these frameworks.
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